We compare our setup against some of the well-known methods already developed for DAG discovery by leveraging both interventional and observational data. From the methods listed in [1]}, we pick GIES [2]} and IGSP [3]}, apply them to the same problem in a multi-client setup and aggregate the results only after a single round. We compare the results with the performance of our approach using ENCO as the LLM. The results clearly indicate the advantage of FED-CD over non-collaborative methods. Note that the federated framework benefits from two collaborative clients with the same amount of observational and interventional data available to other methods.
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